Skip to main content

\A MCP server with playwright tools\

Project description

Playwright Server MCP

一个基于Playwright的MCP服务器,提供浏览器自动化能力

Playwright Server MCP server

组件

资源

服务器实现了简单的笔记存储系统:

  • 自定义note://URI方案用于访问单个笔记
  • 每个笔记资源具有名称、描述和text/plain MIME类型

提示

服务器提供单个提示功能:

  • summarize-notes: 创建所有存储笔记的摘要
    • 可选"style"参数控制详细程度(brief/detailed)
    • 生成结合所有当前笔记与样式偏好的提示

工具

服务器实现以下Playwright相关工具:

会话与导航

  • playwright_new_session: 创建新的浏览器会话并打开浏览器窗口

    • 可选url参数(字符串),指定初始访问网址,不填则只打开浏览器
  • playwright_navigate: 导航到指定网址

    • 需要url参数(字符串),如不包含http或https前缀将自动添加https://
    • 如果没有活跃的浏览器会话,会自动创建一个新会话

页面交互与获取内容

  • playwright_screenshot: 对当前页面或特定元素进行截图

    • 需要name参数(字符串),截图文件名称,不需要包含扩展名
    • 可选selector参数(字符串),CSS选择器用于指定要截图的页面元素,不填则截取整个页面
  • playwright_evaluate: 在浏览器控制台中执行JavaScript代码

    • 需要script参数(字符串),需要在浏览器中执行的JavaScript代码
  • playwright_get_text_content: 获取当前页面中所有可见元素的文本内容

    • 无需参数
    • 智能过滤重复内容,只返回有意义的文本
  • playwright_get_html_content: 获取页面中指定元素的HTML内容

    • 需要selector参数(字符串),CSS选择器用于定位需要获取HTML内容的页面元素

高级交互操作

  • playwright_action: 支持丰富的元素选择与交互方式
    • 必需参数:
      • by: 选择元素方式,支持get_by_text、get_by_placeholder、get_by_label、get_by_role等
      • by_value: 选择元素的值
      • action: 操作类型,如fill、click、dblclick、hover、check等
    • 可选参数:
      • value: 操作的值
      • force: 是否强制执行动作
      • delay: 按键之间的延迟(毫秒)
      • 以及更多专用参数,参见代码文档

配置

系统要求

  • Python 3.10+
  • Playwright 1.44+

快速开始

安装

Claude Desktop配置

MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

开发/未发布服务器配置
"mcpServers": {
  "playwright-server": {
    "command": "uv",
    "args": [
      "--directory",
      "C:\\Users\\xxxxx\\Documents\\project\\python\\mcp\\playwright-server",
      "run",
      "playwright-server"
    ]
  }
}
已发布服务器配置
"mcpServers": {
  "playwright-server": {
    "command": "uvx",
    "args": [
      "playwright-server"
    ]
  }
}

开发

构建与发布

准备发布包:

  1. 同步依赖并更新锁定文件:
uv sync
  1. 构建包分发:
uv build

这将在dist/目录中创建源代码和wheel分发。

  1. 发布到PyPI:
uv publish

注意: 您需要通过环境变量或命令参数设置PyPI凭据:

  • 令牌: --tokenUV_PUBLISH_TOKEN
  • 或用户名/密码: --username/UV_PUBLISH_USERNAME--password/UV_PUBLISH_PASSWORD

调试

由于MCP服务器通过stdio运行,调试可能具有挑战性。为获得最佳调试体验,我们强烈推荐使用MCP Inspector

您可以通过npm使用以下命令启动MCP Inspector:

npx @modelcontextprotocol/inspector uv --directory C:\Users\xxxxx\Documents\project\python\mcp\playwright-server run playwright-server

启动后,Inspector将显示一个URL,您可以在浏览器中访问该URL开始调试。

使用示例

基本网页访问与截图

# 创建会话并导航到指定网址
await playwright_navigate(url="example.com")

# 截取整个页面
await playwright_screenshot(name="fullpage")

# 截取特定元素
await playwright_screenshot(name="logo", selector=".logo")

高级交互操作

# 点击文本匹配的按钮
await playwright_action(by="get_by_text", by_value="登录", action="click")

# 填充表单字段
await playwright_action(by="get_by_placeholder", by_value="用户名", action="fill", value="test@example.com")

# 检查元素是否可见
await playwright_action(by="get_by_test_id", by_value="submit-button", action="is_visible")

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iflow_mcp_playwright_server-0.1.0.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iflow_mcp_playwright_server-0.1.0-py3-none-any.whl (18.8 kB view details)

Uploaded Python 3

File details

Details for the file iflow_mcp_playwright_server-0.1.0.tar.gz.

File metadata

File hashes

Hashes for iflow_mcp_playwright_server-0.1.0.tar.gz
Algorithm Hash digest
SHA256 1745c092b253da4edd87e091d585ce2c16ccc834c923f0c8467581c43a37b72d
MD5 5b9a2f403e5e5b792e0f3f232195e3ce
BLAKE2b-256 c61bcbe0ddd54d4fdcc90b09113939988b674bd613053e4eb2b61ab195e245cc

See more details on using hashes here.

File details

Details for the file iflow_mcp_playwright_server-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for iflow_mcp_playwright_server-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 58a398ac7d4c3d8922f6b33e4c03cfc33c0b83cefcd51896e2fb8bd22bedc7f7
MD5 ef1215f439963c0f10296d05043e629b
BLAKE2b-256 0c5af947ebe83d70a64a24a1717763a2b35c20e1b5ff0b093dfc56c2fb2c0ead

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page